Automated Discovery of Improved Constant Weight Binary Codes
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Abstract (arXiv)
A constant weight binary code consists of n-bit binary codewords, each with exactly w bits equal to 1, such that any two codewords are at least Hamming distance d apart. A(n,d,w) is the maximum size of a constant weight binary code with parameters n,d,w. We establish improved lower bounds on A(n,d,w) by constructing new larger codes, for 24 values of (n,d,w) with 6 ≤ d ≤ 18 and 18 ≤ n ≤ 35. The improved lower bounds come from two strategies. The first is a tabu search that operates at the level of bit swaps. The second is a novel greedy heuristic that repeatedly chooses the candidate codeword that maximizes a randomly-scored histogram of distances to previously-added codewords. These strategies were proposed by CPro1, an automated protocol that generates, implements, and tests diverse strategies for combinatorial constructions.
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References · 4
- 2025Using Code Generation to Solve Open Instances of Combinatorial Design Problemscited by 4
- 2025LLM-Guided Search for Deletion-Correcting Codescited by 4
- 2025Using Reasoning Models to Generate Search Heuristics that Solve Open Instances of Combinatorial Design Problemscited by 3
- 2026Improved Upper Bounds for Slicing the Hypercubecited by 1
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